Efficient multispectral texture segmentation using multivariate statistics-Reference-Cited by-同舟云学术

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Efficient multispectral texture segmentation using multivariate statistics

Published:1998 Issue:5 Volume:145 Page:357
ISSN:1350-245X
Container-title:IEE Proceedings - Vision, Image, and Signal Processing
language:en
Short-container-title:IEE Proc., Vis. Image Process.

Author:

Portillo-García J.,Trueba-Santander I.,de Miguel-Vela G.,Alberola-López C.

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://digital-library.theiet.org/content/journals/10.1049/ip-vis_19982315?crawler=true&mimetype=application/pdf

Reference18 articles.

1. Two-dimensional discrete Markovian fields

2. Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields

3. Statistical model-based algorithms for image analysis

4. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hierarchical Multiple Markov Chain Model for Unsupervised Texture Segmentation;IEEE Transactions on Image Processing;2009-08

2. Texture and color segmentation based on the combined use of the structure tensor and the image components;Signal Processing;2008-04

3. Region oriented compression of color images using fuzzy inference and fast merging;Pattern Recognition;2002-09

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